predict_kde_log_weekly_inc: Compute predictive distribution for weekly incidence from GAM...
In reichlab/adaptively-weighted-ensemble: Adaptively Weighted Ensembles via Stacking
Description
Usage
Arguments
Value
View source: R/kde-prediction-utils.R
Description
Compute predictive distribution for weekly incidence from GAM fit
Usage
1
predict_kde_log_weekly_inc(fm, season_weeks, bins, bin_names, n_sim)
Arguments
fm
a GAM fit for weekly incidence
season_weeks
season_weeks to predict for
bins
cutpoints for incidence bins
bin_names
vector of bin names, length 1 fewer than length(bins)
n_sim
number of draws from predictive distribution to return
Value
matrix of probabilities representing the predictive distribution of NOT LOG scale weekly incidence,
with row correponding to the bin and column corresponding to each given season_week
reichlab/adaptively-weighted-ensemble documentation built on May 27, 2019, 4:53 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
View source: R/kde-prediction-utils.R
Description
Compute predictive distribution for weekly incidence from GAM fit
Usage
1 | predict_kde_log_weekly_inc(fm, season_weeks, bins, bin_names, n_sim)
|
Arguments
fm |
a GAM fit for weekly incidence |
season_weeks |
season_weeks to predict for |
bins |
cutpoints for incidence bins |
bin_names |
vector of bin names, length 1 fewer than length(bins) |
n_sim |
number of draws from predictive distribution to return |
Value
matrix of probabilities representing the predictive distribution of NOT LOG scale weekly incidence, with row correponding to the bin and column corresponding to each given season_week
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.